Yuxuan Liang

5.9k total citations · 6 hit papers
130 papers, 3.1k citations indexed

About

Yuxuan Liang is a scholar working on Artificial Intelligence, Building and Construction and Transportation. According to data from OpenAlex, Yuxuan Liang has authored 130 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 29 papers in Building and Construction and 28 papers in Transportation. Recurrent topics in Yuxuan Liang's work include Traffic Prediction and Management Techniques (27 papers), Human Mobility and Location-Based Analysis (24 papers) and Data Management and Algorithms (15 papers). Yuxuan Liang is often cited by papers focused on Traffic Prediction and Management Techniques (27 papers), Human Mobility and Location-Based Analysis (24 papers) and Data Management and Algorithms (15 papers). Yuxuan Liang collaborates with scholars based in China, Singapore and Hong Kong. Yuxuan Liang's co-authors include Yu Zheng, Junbo Zhang, Zheyi Pan, Songyu Ke, Yong Yu, Xiuwen Yi, Weifeng Wang, Meijia Qiu, Wenjie Mai and Peng Sun and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Yuxuan Liang

101 papers receiving 3.0k citations

Hit Papers

Urban Traffic Prediction from Spatio-Temporal Data Using ... 2018 2026 2020 2023 2019 2018 2023 2023 2024 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuxuan Liang China 27 1.2k 840 796 605 518 130 3.1k
Weiwei Jiang China 28 764 0.7× 495 0.6× 691 0.9× 330 0.5× 650 1.3× 153 3.3k
Bowen Du China 31 1.7k 1.5× 1.3k 1.5× 723 0.9× 374 0.6× 189 0.4× 101 3.2k
Zonghan Wu Australia 6 1.7k 1.5× 1.1k 1.3× 734 0.9× 701 1.2× 298 0.6× 8 2.7k
Leilei Sun China 28 1.1k 0.9× 903 1.1× 889 1.1× 367 0.6× 141 0.3× 101 2.7k
Jianzhong Qi Australia 23 975 0.8× 782 0.9× 1.1k 1.3× 791 1.3× 120 0.2× 123 2.8k
Xiuwen Yi China 15 1.2k 1.0× 953 1.1× 311 0.4× 342 0.6× 148 0.3× 23 2.2k
Jianping Wu China 32 781 0.7× 822 1.0× 361 0.5× 134 0.2× 374 0.7× 222 3.2k
Huaxiu Yao United States 15 1.7k 1.5× 1.3k 1.6× 719 0.9× 342 0.6× 118 0.2× 46 2.8k
Yongjun Xu China 26 394 0.3× 246 0.3× 669 0.8× 380 0.6× 702 1.4× 141 2.5k
Hao Liu China 24 411 0.4× 359 0.4× 466 0.6× 202 0.3× 509 1.0× 120 2.0k

Countries citing papers authored by Yuxuan Liang

Since Specialization
Citations

This map shows the geographic impact of Yuxuan Liang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yuxuan Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxuan Liang more than expected).

Fields of papers citing papers by Yuxuan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuxuan Liang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yuxuan Liang. The network helps show where Yuxuan Liang may publish in the future.

Co-authorship network of co-authors of Yuxuan Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxuan Liang. A scholar is included among the top collaborators of Yuxuan Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuxuan Liang. Yuxuan Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Yiyuan, Ming Jin, Haomin Wen, et al.. (2025). A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. ACM Computing Surveys. 58(8). 1–39. 1 indexed citations
2.
Miao, Hao, Yan Zhao, Yuxuan Liang, et al.. (2025). The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 6920–6922.
3.
Zhang, Zijian, Hao Miao, Yuxuan Liang, et al.. (2025). Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era. CityU Scholars. 81–84.
4.
Qiu, Meijia, Yuxuan Liang, Yongtao Liu, et al.. (2025). Ionic Liquid Induced Static and Dynamic Interface Double Shields for Long‐Lifespan All‐Temperature Zn‐Ion Batteries. Advanced Materials. 37(14). e2418947–e2418947. 15 indexed citations
5.
Liang, Yuxuan, Qingrong Zhang, Shuguang Xu, et al.. (2025). An interplay between human genetics and intratumoral microbiota in the progression of colorectal cancer. Cell Host & Microbe. 33(5). 657–670.e6. 3 indexed citations
6.
Li, Yao, Hong Ren, Shengzhen Zhou, et al.. (2024). Tower-based profiles of wintertime secondary organic aerosols in the urban boundary layer over Guangzhou. The Science of The Total Environment. 950. 175326–175326. 1 indexed citations
7.
Zhang, Kexin, Qingsong Wen, Chaoli Zhang, et al.. (2024). Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(10). 6775–6794. 83 indexed citations breakdown →
8.
Wang, Y., et al.. (2024). COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. arXiv (Cornell University). 3509–3520. 3 indexed citations
9.
Zheng, Hang, et al.. (2024). SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19679–19687. 3 indexed citations
10.
Wen, Haomin, Youfang Lin, Lixia Wu, et al.. (2024). A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7516–7535. 3 indexed citations
11.
Wang, Kun, Guohao Li, Kai Wang, et al.. (2024). The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. 3152–3163. 3 indexed citations
12.
Wang, Kun, Wenjie Du, Yifan Duan, et al.. (2024). On Regularization for Explaining Graph Neural Networks: An Information Theory Perspective. IEEE Transactions on Knowledge and Data Engineering. 1–14. 5 indexed citations
13.
Zhou, Zhengyang, Qihe Huang, Kun Wang, et al.. (2023). Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3603–3614. 16 indexed citations
14.
Ke, Songyu, Zheyi Pan, Tianfu He, et al.. (2023). AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction. Artificial Intelligence. 318. 103899–103899. 12 indexed citations
15.
Ma, Yanan, et al.. (2023). Bimetallic ZIFs-derived electrospun carbon nanofiber membrane as bifunctional oxygen electrocatalyst for rechargeable zinc-air battery. Journal of Energy Chemistry. 83. 138–149. 45 indexed citations
16.
Deng, Zikun, Di Weng, Yuxuan Liang, et al.. (2021). Visual Cascade Analytics of Large-Scale Spatiotemporal Data. IEEE Transactions on Visualization and Computer Graphics. 28(6). 2486–2499. 17 indexed citations
17.
Wang, Yiwei, Yujun Cai, Yuxuan Liang, et al.. (2021). Adaptive Data Augmentation on Temporal Graphs. Neural Information Processing Systems. 34. 14 indexed citations
18.
Liu, Ye, Yuxuan Liang, Kun Ouyang, et al.. (2020). Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach. IEEE Transactions on Big Data. 8(2). 564–578. 29 indexed citations
19.
Ouyang, Kun, Yuxuan Liang, Ye Liu, et al.. (2020). Fine-Grained Urban Flow Inference. IEEE Transactions on Knowledge and Data Engineering. 34(6). 2755–2770. 41 indexed citations
20.
Liang, Yuxuan, Yu Zhang, Xiaofei Liao, et al.. (2020). GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing. IEEE Transactions on Big Data. 8(5). 1182–1194. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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